AIMC Topic: Cell Line, Tumor

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Single-detector multiplex imaging flow cytometry for cancer cell classification with deep learning.

Cytometry. Part A : the journal of the International Society for Analytical Cytology Aug 5, 2024
Imaging flow cytometry, which combines the advantages of flow cytometry and microscopy, has emerged as a powerful tool for cell analysis in various biomedical fields such as cancer detection. In this study, we develop multiplex imaging flow cytometry...
Humans Image Processing, Computer-Assisted Ovarian Neoplasms Flow Cytometry Image Cytometry Female Deep Learning Cell Line, Tumor
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Machine learning-based screening and validation of liver metastasis-specific genes in colorectal cancer.

Scientific reports Jul 30, 2024
Colorectal liver metastasis (CRLM) is challenging in the clinical treatment of colorectal cancer. Limited research has been conducted on how CRLM develops. RNA sequencing data were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome...
Cell Line, Tumor Liver Neoplasms Gene Expression Regulation, Neoplastic Colorectal Neoplasms Osteopontin Humans Biomarkers, Tumor Machine Learning Gene Expression Profiling Prognosis
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SAFER: sub-hypergraph attention-based neural network for predicting effective responses to dose combinations.

BMC bioinformatics Jul 30, 2024
BACKGROUND: The potential benefits of drug combination synergy in cancer medicine are significant, yet the risks must be carefully managed due to the possibility of increased toxicity. Although artificial intelligence applications have demonstrated n...
Signal Transduction Antineoplastic Agents Humans Dose-Response Relationship, Drug Neural Networks, Computer Drug Synergism Cell Line, Tumor Lung Neoplasms
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Using deep learning to decipher the impact of telomerase promoter mutations on the dynamic metastatic morpholome.

PLoS computational biology Jul 30, 2024
Melanoma showcases a complex interplay of genetic alterations and intra- and inter-cellular morphological changes during metastatic transformation. While pivotal, the role of specific mutations in dictating these changes still needs to be fully eluci...
Skin Neoplasms Promoter Regions, Genetic Deep Learning Cell Line, Tumor Telomerase Humans Computational Biology Phenotype Mutation Melanoma Neoplasm Metastasis
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A New Fingerprint and Graph Hybrid Neural Network for Predicting Molecular Properties.

Journal of chemical information and modeling Jul 25, 2024
Machine learning plays a role in accelerating drug discovery, and the design of effective machine learning models is crucial for accurately predicting molecular properties. Characterizing molecules typically involves the use of molecular fingerprints...
Neural Networks, Computer Machine Learning Algorithms Humans Drug Discovery Cell Line, Tumor
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Machine learning and experimental analyses identified miRNA expression models associated with metastatic osteosarcoma.

Biochimica et biophysica acta. Molecular basis of disease Jul 20, 2024
Osteosarcoma (OS), as the most common primary bone cancer, has a high invasiveness and metastatic potential, therefore, it has a poor prognosis. This study identified early diagnostic biomarkers using miRNA expression profiles associated with osteosa...
Humans Gene Expression Regulation, Neoplastic Male Osteosarcoma MicroRNAs Gene Expression Profiling Machine Learning Bone Neoplasms Female Epithelial-Mesenchymal Transition Cell Line, Tumor Biomarkers, Tumor Neoplasm Metastasis
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Artificial intelligence-based plasma exosome label-free SERS profiling strategy for early lung cancer detection.

Analytical and bioanalytical chemistry Jul 17, 2024
As a lung cancer biomarker, exosomes were utilized for in vitro diagnosis to overcome the lack of sensitivity of conventional imaging and the potential harm caused by tissue biopsy. However, given the inherent heterogeneity of exosomes, the challenge...
Spectrum Analysis, Raman Support Vector Machine Early Detection of Cancer Exosomes Biomarkers, Tumor Cell Line, Tumor Lung Neoplasms Humans Neural Networks, Computer Artificial Intelligence
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CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.

Nature communications Jul 17, 2024
Cancer is rarely the straightforward consequence of an abnormality in a single gene, but rather reflects a complex interplay of many genes, represented as gene modules. Here, we leverage the recent advances of model-agnostic interpretation approach a...
Deep Learning Cell Line, Tumor Gene Regulatory Networks Female Breast Neoplasms Leukemia, Myeloid, Acute Gene Expression Regulation, Neoplastic Neuregulin-1 Humans Neural Networks, Computer
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Cell recognition based on features extracted by AFM and parameter optimization classifiers.

Analytical methods : advancing methods and applications Jul 11, 2024
Intelligent technology can assist in the diagnosis and treatment of disease, which would pave the way towards precision medicine in the coming decade. As a key focus of medical research, the diagnosis and prognosis of cancer play an important role in...
Bayes Theorem Microscopy, Atomic Force Algorithms Neoplasms Cell Line, Tumor Humans Neural Networks, Computer Machine Learning
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Machine learning-based autophagy-related prognostic signature for personalized risk stratification and therapeutic approaches in bladder cancer.

International immunopharmacology Jul 10, 2024
OBJECTIVE: Bladder cancer (BCa) is a highly lethal urological malignancy characterized by its notable histological heterogeneity. Autophagy has swiftly emerged as a diagnostic and prognostic biomarker in diverse cancer types. Nonetheless, the current...
Machine Learning Precision Medicine Prognosis Humans Gene Expression Regulation, Neoplastic Urinary Bladder Neoplasms Autophagy Cell Line, Tumor Mice Immunotherapy Biomarkers, Tumor Animals Risk Assessment
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